Snowflake Computing-posted 8 months ago
$195,000 - $287,500/Yr
Full-time • Mid Level
Menlo Park, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Join the Snowflake team and help build the future of the AI Data Cloud. The Applied Performance Group (APG) Engineering team plays a strategic role at Snowflake, impacting product direction and the company's bottom line. APG engineers serve as a vital link between Engineering and Sales, supporting customer performance issues and contributing to significant deals. They also engage in competitive benchmarking, utilizing industry standards to assess Snowflake's performance against competitors. APG Engineers are at the forefront of innovation, working with the latest technologies and collaborating with Engineering and Product Management to enhance the product and maintain Snowflake's position as the leading Cloud Data Platform. A successful Applied Performance Engineer will possess a diverse skill set, including strong SQL, data warehousing, data architecture, data engineering, ELT/ETL, security, performance analysis, and analytics. They will connect customer business challenges with Snowflake's solutions, effectively communicate this vision to various audiences, and provide consultative assistance in product direction. The ideal candidate will thrive in a dynamic environment, demonstrating flexibility and a commitment to customer success while staying updated on evolving data and analytics technologies.

  • Be an expert on Snowflake architecture, query processing, workload profiling, and Snowflake tools.
  • Be an expert in competitor solutions/products for analytics, HTAP, and OLTP.
  • Define, automate, execute, and publish competitive benchmarks.
  • Partner closely with other engineering teams to deliver results and guidance on performance gaps, challenges, advantages, and disadvantages.
  • Collaborate with Product Management and Engineering to continuously improve Snowflake's products and ecosystem roadmaps.
  • Minimum 5 years of experience in a technical role delivering Database, Data Warehouse, or Data Engineering implementations and/or benchmark initiatives.
  • Experience working directly with engineering teams, product managers, and various levels of management.
  • Strong communication skills to effectively convey ideas and technical concepts to both technical and executive audiences.
  • Broad understanding of cloud platforms and solutions, including large-scale infrastructure-as-a-service platforms (e.g., Amazon AWS, Microsoft Azure, OpenStack).
  • Proven track record of experience with Snowflake competitors.
  • Deep understanding of the complete data engineering and analytics stack and workflow, from data ingestion and load to transformation to data platform design to BI and analytics tools.
  • Deep technical expertise in databases, data warehouses, data processing, and applications.
  • Coding/programming experience in process automation.
  • Strong SQL performance analysis experience, with the ability to identify and articulate performance issues.
  • Extensive knowledge of large-scale database technology (e.g., Databricks, Spark, Netezza, Oracle Exadata, Teradata, Greenplum, Google BigQuery, Amazon Redshift, Microsoft Synapse).
  • Software development experience with C/C++, Java, Scala, Spark.
  • Scripting experience with Python, Ruby, Perl, Bash.
  • University degree in computer science, engineering, mathematics, or related fields, or equivalent experience.
  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan.
  • Flexible spending & health savings account.
  • At least 12 paid holidays.
  • Paid time off.
  • Parental leave.
  • Employee assistance program.
  • Other company benefits.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service